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README.md
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---
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language: dv
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tags:
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- automatic-speech-recognition
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datasets:
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- common_voice
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---
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# Wav2Vec2 Dhivehi
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Wav2vec2 pre-pretrained from scratch using common voice dhivehi dataset. The model was trained with Flax during the [Flax/Jax Community Week](https://discss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) organised by HuggingFace.
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## Model description
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The model used for training is [Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) by FacebookAI. It was introduced in the paper
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"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" by Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli (https://arxiv.org/abs/2006.11477).
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This model is available in the 🤗 [Model Hub](https://huggingface.co/facebook/wav2vec2-base-960h).
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## Training data
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Dhivehi data from [Common Voice](https://commonvoice.mozilla.org/en/datasets).
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The dataset is also available in the 🤗 [Datasets](https://huggingface.co/datasets/common_voice) library.
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## Team members
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- Shahu Kareem ([@shahukareem](https://huggingface.co/shahukareem))
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- Eyna ([@eyna](https://huggingface.co/eyna))
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